FILS: Self-Supervised Video Feature Prediction In Semantic Language
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FILS: Self-Supervised Video Feature Prediction In Semantic Language Space

5 June 2024

Andrew Gilbert

Papers citing "FILS: Self-Supervised Video Feature Prediction In Semantic Language Space"

7 / 7 papers shown

Title
CLIP-S $^4$ : Language-Guided Self-Supervised Semantic Segmentation Wenbin He Suphanut Jamonnak Liangke Gou Liu Ren VLM 30 31 0 01 May 2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge Wei Lin Leonid Karlinsky Nina Shvetsova Horst Possegger Mateusz Koziñski Rameswar Panda Rogerio Feris Hilde Kuehne Horst Bischof VLM 100 38 0 15 Mar 2023
Omnivore: A Single Model for Many Visual Modalities Rohit Girdhar Mannat Singh Nikhil Ravi L. V. D. van der Maaten Armand Joulin Ishan Misra 209 222 0 20 Jan 2022
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang Jiaqi Wang Yansong Tang Kai-xiang Chen Hengshuang Zhao Philip H. S. Torr 125 308 0 04 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
ActionCLIP: A New Paradigm for Video Action Recognition Mengmeng Wang Jiazheng Xing Yong Liu VLM 141 261 0 17 Sep 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 275 1,939 0 09 Feb 2021